Introduction to Python Programming and to Red Hat OpenShift AI (AI252)

Agenda

1 - An Overview of Python 3

• Introduction to Python and setting up the developer environment

2 - Basic Python Syntax

• Explore the basic syntax and semantics of Python

3 - Language Components

• Understand the basic control flow features and operators

4 - Collections

• Write programs that manipulate compound data using lists, sets, tuples and dictionaries

5 - Functions

• Decompose your programs into composable functions

6 - Modules

• Organize your code using Modules for flexibility and reuse

7 - Classes in Python

• Explore Object Oriented Programming (OOP) with classes and objects

8 - Exceptions

• Handle runtime errors using Exceptions

9 - Input and Output

• Implement programs that read and write files

10 - Data Structures

• Use advanced data structures like generators and comprehensions to reduce boilerplate code

11 - Parsing JSON

• Read and write JSON data

12 - Debugging

• Debug Python programs using the Python debugger (pdb)

13 - Introduction to Red Hat OpenShift AI

• Identify the main features of Red Hat OpenShift AI, and describe the architecture and components of Red Hat OpenShift AI.

14 - Data Science Projects

• Organize code and configuration by using data science projects, workbenches, and data connections

15 - Jupyter Notebooks

• Use Jupyter notebooks to execute and test code interactively